30 citations · 50 across the 7 of their papers we have counts for
9 papers
RoIFusion: 3D Object Detection from LiDAR and Vision
Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
When localizing and detecting 3D objects for autonomous driving scenes, obtaining information from multiple sensor (e.g. camera, LIDAR) typically increases the robustness of 3D det…
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions
Schyler C. Sun, Chen Li, Zhuangkun Wei +2
Achieving transparency in black-box deep learning algorithms is still an open challenge. High dimensional features and decisions given by deep neural networks (NN) require new algo…
Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds
Vinorth Varatharasan, Hyo-Sang Shin, Antonios Tsourdos +1
Usually, Neural Networks models are trained with a large dataset of images in homogeneous backgrounds. The issue is that the performance of the network models trained could be sign…
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions
Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
In order to achieve better performance for point cloud analysis, many researchers apply deeper neural networks using stacked Multi-Layer-Perceptron (MLP) convolutions over irregula…
Threshold Greedy Based Task Allocation for Multiple Robot Operations
Teng Li, Hyo-Sang Shin, Antonios Tsourdos
This paper deals with large-scale decentralised task allocation problems for multiple heterogeneous robots with monotone submodular objective functions. One of the significant chal…
Fast Hierarchical Neural Network for Feature Learning on Point Cloud
Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
The analyses relying on 3D point clouds are an utterly complex task, often involving million of points, but also requiring computationally efficient algorithms because of many real…